Latest Human Resource Consulting Jobs

Applied AI Architect, Large Enterprise

The Applied AI Architect role involves partnering with enterprise customers to identify and implement AI solutions, guiding them from pre-sales to production. Responsibilities include technical strategy, architecture development, and stakeholder engagement, with a focus on measurable business impact.

OpenAI London, United Kingdom

Permanent

Software Engineer, ChatGPT Infrastructure

Design, build, and operate scalable, reliable infrastructure supporting AI systems like ChatGPT and the OpenAI API. Focus on performance, observability, security, and automation while collaborating with research, product, and engineering teams. Improve developer experience and system resilience at global scale.

OpenAI London, United Kingdom

On-site Permanent

Engineering Manager - Core Infrastructure

Lead a team of engineers building foundational infrastructure-as-code platforms at a high-scale cybersecurity company. Drive cloud cost optimization, multi-cloud deployment standards, and SRE practices across distributed systems processing trillions of events daily. Collaborate on architecture design, incident analysis, and AI-driven workflow improvements in a flexible, innovation-focused environment.

CrowdStrike Reading, United Kingdom £140,000 – £215,000 pa

Remote

Engineering Manager - Core Infrastructure

This role involves leading a team of engineers to build and maintain scalable core infrastructure services on a distributed systems platform, focusing on self-service infrastructure-as-code, cloud cost optimization, and high-availability standards across multi-cloud environments. The Engineering Manager will drive technical strategy, mentor senior engineers, and collaborate on architecture design while enforcing SRE and DevOps best practices. The position emphasizes AI-driven decision-making and innovation within a high-performance cybersecurity environment.

CrowdStrike London, United Kingdom £140,000 – £215,000 pa

Remote

Technical Deployment Lead

Lead end-to-end technical delivery of custom AI agent solutions for enterprise clients in regulated industries, managing product scoping, stakeholder engagement, and deployment execution. Translate business objectives into technical roadmaps, coordinate cross-functional teams, and define measurable impact while navigating compliance and organizational complexity. Help build scalable deployment playbooks and feed real-world insights back into product and research.

Anthropic London, United Kingdom £165,000 – £230,000 pa

Applied AI Engineer, Beneficial Deployments (Life Sciences)

This role involves serving as the primary technical advisor for life sciences partners, translating scientific workflows into impactful AI solutions using Claude. The candidate will design and lead cohort-based accelerators, develop scalable technical content, and bridge deployment challenges between partners and product teams to advance AI adoption in research and biotech.

Anthropic London, United Kingdom £165,000 – £190,000 pa

Research Engineer, Machine Learning (Reinforcement Learning)

This role involves advancing reinforcement learning in large language models, focusing on developing agentic systems for computer use, code generation, and reasoning. The engineer will build scalable RL infrastructure, design training environments, and collaborate across research and engineering to implement safety and performance improvements at scale.

Anthropic London, United Kingdom £260,000 – £630,000 pa

Research Engineer, Machine Learning (RL Velocity)

This role involves building and optimizing the machine learning infrastructure that supports Anthropic’s reinforcement learning research. You'll work closely with researchers to improve training efficiency, debug performance bottlenecks, and develop tooling that accelerates model development. The position focuses on high-leverage platform improvements that scale across the entire research team.

Anthropic London, United Kingdom £370,000 – £630,000 pa

Research Engineer, Pretraining Scaling - London

This role involves owning critical parts of Anthropic's production pretraining pipeline for large language models, focusing on reliability, performance optimization, and debugging across hardware, networking, and training dynamics. The engineer will run experiments to improve training efficiency, respond to incidents during model launches, and collaborate closely with research and systems teams. It’s a high-impact, operational role blending deep technical engineering with empirical research in a fast-paced, safety-focused AI environment.

Anthropic London, United Kingdom £260,000 – £630,000 pa

Research Engineer, RL Scaling Science

This role involves designing and running large-scale reinforcement learning experiments to understand scaling effects across model size, compute, and task horizon. The engineer will build benchmarks for long-horizon RL, debug system-level issues that emerge at scale, and translate validated research findings directly into production training pipelines. The position sits at the intersection of research and systems engineering, requiring deep empirical rigor and close collaboration with both research and infrastructure teams.

Anthropic London, United Kingdom £375,000 – £640,000 pa

Staff Infrastructure Engineer, Cluster Infrastructure

This role focuses on designing and managing large-scale compute cluster infrastructure, with a strong emphasis on automation, security, and scalability. The engineer will lead technical strategy for provisioning and lifecycle management of clusters across cloud and on-prem environments, ensuring high-bandwidth interconnectivity and fault tolerance. Responsibilities include cross-team collaboration on compute strategy, operational excellence, and mentoring other engineers.

Anthropic London, United Kingdom £325,000 – £485,000 pa

Staff Software Engineer, AI Reliability Engineering

This role focuses on ensuring the reliability and resilience of large language model serving systems at scale. You'll design service level objectives, build observability tooling, lead incident response, and collaborate across teams to strengthen critical infrastructure paths—from API layers to accelerators. The position demands a systems-thinking engineer passionate about robustness, safety, and cross-team partnership in high-stakes AI environments.

Anthropic London, United Kingdom £325,000 – £390,000 pa

Staff Software Engineer, Inference

This role involves designing and maintaining large-scale, performance-sensitive distributed systems that serve Claude to millions of users globally. The engineer will work across the full inference stack, building intelligent routing, autoscaling, and deployment systems for AI models running on diverse accelerators across multiple cloud platforms. The position emphasizes real-time system resilience, compute efficiency, and close collaboration with research teams to enable next-generation model development.

Anthropic London, United Kingdom £325,000 – £390,000 pa

Sales Manager, Nonprofit, EMEA

Lead and build a sales team focused on driving adoption of AI systems within mission-driven organizations across Europe, the Middle East, and Africa. The role involves securing strategic partnerships with nonprofits, foundations, educational institutions, and social enterprises, while navigating complex stakeholder ecosystems, regulatory environments, and funding models. This is a player-coach position requiring hands-on deal closing, team development, and shaping of regional sales strategy in a rapidly evolving environment.

Anthropic London, United Kingdom £280,000 – £330,000 pa

Hybrid Permanent

Anthropic Fellows Program, AI Safety & Security

This role involves conducting full-time empirical AI safety research over a 4-month period, aligned with Anthropic’s priorities such as scalable oversight, adversarial robustness, and mechanistic interpretability. Fellows will work on a self-directed project with mentorship from senior researchers, aiming to produce a public output like a research paper. The program offers a structured environment with access to compute funding, a shared workspace, and integration into the broader AI safety research community.

Anthropic United Kingdom